Instead of changing colors globally, you can map variables to colors – in other words, make the color conditional on a variable, by putting it inside an aes() statement. # Bars: x and fill both depend on cond2 ggplot(df, aes(x=cond, y=yval, fill=cond)) + geom_bar(stat="identit...
set.seed(123) grouped_ggdotplotstats( data = dplyr::filter(ggplot2::mpg, cyl %in% c("4", "6")), x = cty, y = manufacturer, type = "bayes", xlab = "city miles per gallon", ylab = "car manufacturer", grouping.var = cyl, test.value = 15.5, point.args = list(color = "...
but it feels clunky, specially the random color part, what if it evaluates the same color for two variables in the same group? So I tried to use a variable to evaluate cl with each iteration of the inner loop: cl <- colors() t <- 0 #variable used to evalu...
Legend background color, title and text font styles Change the order of items in the legend, remove plot legend Axis scales Create a customized plots with few R code Facet : split a plot into a matrix of panels Facet with one variable Facet with two variables Facet scales Fa...
Aestheticsis used to indicate x and y variables. It can also be used to control thecolor, thesizeor theshapeof points, the height of bars, etc….. Geometrydefines the type of graphics (histogram,box plot,line plot,density plot,dot plot, ….) ...
(0, 1, length.out = 4)) # create color scale that encodes two variables # red for gini and blue for mean income # the special notation with gather is due to readibility reasons bivariate_color_scale <- tibble( "3 - 3" = "#3F2949", # high inequality, high income "2 - 3" ...
It's likely possible to combine the two legends into one so that the dots reflect both thecolor=andalpha=at the same time, but I think in general the first method is preferred and easier to scale to larger data. Reshaping/pivoting the data from wide to long seem simple here...
ggplot(data, aes(x=group, y=value, col=group))+# Change color of bordersgeom_boxplot() By executing the previous syntax, we have created Figure 2, i.e. a boxplot with different colors for the borders and lines of each box.
geom_point(data=datasaurus_dozen[datasaurus_dozen$dataset=="dino",], aes(x = x, y = y),color="#7CAE00") + theme_void()+ theme(legend.position ="none") Components of plot Components of plot Data: is a data frame Aesthetics: is used to indicate x and y variables and to control...
ggplot(mammals, aes(x = body, y = brain)) + geom_point(alpha = 0.6) + stat_smooth( method = "lm", color = "red", se = FALSE ) Powered By Applying a log transformation of both variables allows for a better fit. ggplot(mammals, aes(x = body, y = brain)) + geom_point(...